TASIL Pretrained Models

说明
本项目代码已开源并托管于 GitHub：
https://github.com/roomtoor/TASIL

主实验对应的预训练模型权重已公开上传至 HuggingFace：
https://huggingface.co/javaccd/TASIL

Office-Home (SSDG)

• TACDv2_OfficeHome_3_SSDG_Art_ep25.pth
  Trained with Art as the source domain.
• TACDv2_OfficeHome_3_SSDG_Clipart_ep7.pth
  Trained with Clipart as the source domain.
• TACDv2_OfficeHome_3_SSDG_Product_ep4.pth
  Trained with Product as the source domain.
• TACDv2_OfficeHome_3_SSDG_Real_World_ep9.pth
  Trained with Real World as the source domain.

TerraIncognita (DomainBed setting, SSDG)

• TACDv2_SSDG_SSDG_terraincognita_location_38_ep17.pth
  Trained with location_38 as the source domain.
• TACDv2_SSDG_SSDG_terraincognita_location_43_ep4.pth
  Trained with location_43 as the source domain.
• TACDv2_SSDG_SSDG_terraincognita_location_46_ep10.pth
  Trained with location_46 as the source domain.
• TACDv2_SSDG_SSDG_terraincognita_location_100_ep1.pth
  Trained with location_100 as the source domain.

Notes

• These checkpoints correspond to the main SSDG experiments.
• Training and evaluation scripts are provided in the main project repository.
• Results can be reproduced using the provided commands with fixed random seeds.